class_docstr: Lazy loading, memoizing, instantiation of FeatureStoreManagers.
  
  Useful when you want to defer FeatureStoreManagers instantiation and provide access to the same
  instance throughout the application.
class_docstr_tok: ["Lazy","loading",",","memoizing",",","instantiation","of","FeatureStoreManagers",".","Useful","when","you","want","to","defer","FeatureStoreManagers","instantiation","and","provide","access","to","the","same","instance","throughout","the","application","."]
docstr: Instansiate a new FeatureStoreManager.
docstr_tok: ["Instansiate","a","new","FeatureStoreManager","."]
code: def feature_store_manager(self) -> fsm.FeatureStoreManager:
      """Instansiate a new FeatureStoreManager."""
      return fsm.FeatureStoreManager()
  
file_path: sagemaker-python-sdk/src/sagemaker/feature_store/feature_processor/_spark_factory.py
imports: from __future__ import absolute_import
  from functools import lru_cache
  from typing import List, Tuple, Dict
  import feature_store_pyspark
  import feature_store_pyspark.FeatureStoreManager
  from pyspark.conf import SparkConf
  from pyspark.context import SparkContext
  from pyspark.sql import SparkSession
  from sagemaker.feature_store.feature_processor._env import EnvironmentHelper
label_desc: Use image node_id 1 for calling the FeatureStoreManagerFactory obj's underlying member method code with example usage: obj.feature_store_manager() and returns: fsm